Paper Citation Record · LEDGER

Do Concept Replacement Techniques Really Erase Unacceptable Concepts?

As of 11 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2506.08991.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.08991 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:22.976187Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:46:43.029378Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy35
unresolved8
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 108ce99c-c365-435d-8eb4-a0c6ce6dded5 · outbound

This paper cites Morariu, Soheil Feizi, and Varun Manjunatha.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Morariu, Soheil Feizi, and Varun Manjunatha

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:29.933379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad316390-7522-43aa-9e03-84f7f7dbce03 · outbound

This paper cites States Target AI Deepfakes in Taylor Swift After- math (Correct).

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? States Target AI Deepfakes in Taylor Swift After- math (Correct)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:29.743268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41a0a961-0767-4113-9987-6bb9243cd4a3 · outbound

This paper cites LED- ITS++: limitless image editing using text-to-image models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? LED- ITS++: limitless image editing using text-to-image models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:29.284728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b52628de-7b90-48d9-a797-17a1011813c3 · outbound

This paper cites Espresso: Robust concept filtering in text-to-image models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Espresso: Robust concept filtering in text-to-image models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:29.031352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d171d1f-72dc-48ff-a3a0-5d1bfd0ae7a2 · outbound

This paper cites Diego-Mas, Felix Fuentes-Hurtado, Valery Naranjo, and Mar- iano Alcañiz.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Diego-Mas, Felix Fuentes-Hurtado, Valery Naranjo, and Mar- iano Alcañiz

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:28.802128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b50a725-86df-4f21-96f1-bca78e07788a · outbound

This paper cites Unified concept editing in diffusion models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Unified concept editing in diffusion models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:28.619401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eeb1befa-d48d-4ee7-9c62-c2e59f48a064 · outbound

This paper cites Selective amnesia: A continual learning approach to forgetting in deep generative models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Selective amnesia: A continual learning approach to forgetting in deep generative models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:28.401593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e17cf856-ea7d-4067-8101-3f7c2219132f · outbound

This paper cites Denoising diffusion probabilistic models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Denoising diffusion probabilistic models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:19.841700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7276014-068e-48e0-a363-038a679fbac1 · outbound

This paper cites Denoising diffusion probabilistic models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Denoising diffusion probabilistic models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:19.992903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af711146-27ff-4ac3-9621-f4676d6b2d87 · outbound

This paper cites An edit friendly DDPM noise space: Inversion and manipulations.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? An edit friendly DDPM noise space: Inversion and manipulations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:28.183729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ab9af80-8081-4f01-8ba4-068589619dd4 · outbound

This paper cites Editing models with task arithmetic.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Editing models with task arithmetic

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:27.937847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1de8a059-3c81-47be-bf15-985c4e009c78 · outbound

This paper cites Ablating concepts in text-to-image diffusion models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Ablating concepts in text-to-image diffusion models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:27.702257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b086d58-b867-47a9-b735-fa45a75cb5a0 · outbound

This paper cites Maskgan: Towards diverse and interactive facial image manipulation.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Maskgan: Towards diverse and interactive facial image manipulation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:27.563588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 31d68d79-c1fe-453f-ade2-dc032bfbeeca · outbound

This paper cites Source prompt disentangled inversion for boosting image editability with diffusion models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Source prompt disentangled inversion for boosting image editability with diffusion models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:27.452266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1701766d-af12-4461-a001-113c04640bdb · outbound

This paper cites Get what you want, not what you don’t: Image content suppression for text-to-image diffusion models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Get what you want, not what you don’t: Image content suppression for text-to-image diffusion models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:27.243879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 661027f7-2f6c-46c5-aa3f-91d5df2b116e · outbound

This paper cites ADBM: adversarial diffusion bridge model for reliable adversarial purification.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? ADBM: adversarial diffusion bridge model for reliable adversarial purification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:27.046957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a088413-703e-4db7-826e-e806ff68892e · outbound

This paper cites Safegen: Mitigating sexually explicit content generation in text-to-image models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Safegen: Mitigating sexually explicit content generation in text-to-image models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:26.937672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ed0e9019-a404-42b7-a91b-a872b8cb9851 · outbound

This paper cites Deep learning face attributes in the wild.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Deep learning face attributes in the wild

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:26.799424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5d2cde58-1a60-419b-bcdd-51b701f7a58e · outbound

This paper cites Dpm-solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Dpm-solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:26.663437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27a7ceca-e9a6-4a76-9e01-2ff0ccd31bb8 · outbound

This paper cites MACE: mass concept erasure in diffusion models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? MACE: mass concept erasure in diffusion models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:26.555430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35dec473-9308-4e19-8d25-171f8d2c904f · outbound

This paper cites Sdedit: Guided image synthesis and editing with stochastic differential equations.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Sdedit: Guided image synthesis and editing with stochastic differential equations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:26.485647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a9304ba-e277-4934-8340-d7a9e8c63f2c · outbound

This paper cites Diffeditor: Boosting accuracy and flexibility on diffusion- based image editing.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Diffeditor: Boosting accuracy and flexibility on diffusion- based image editing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:26.410811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6cb7e54f-0b41-4b58-91e1-b2721c1a6eb8 · outbound

This paper cites DALL·E 3: OpenAI’s Text-to-Image Generation Model.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? DALL·E 3: OpenAI’s Text-to-Image Generation Model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:26.282426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9905b17c-4730-411c-b9b2-79e0ccc11908 · outbound

This paper cites Localization and manipulation of immoral visual cues for safe text- to-image generation.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Localization and manipulation of immoral visual cues for safe text- to-image generation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:26.123018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d3904617-0aef-411f-a713-363a551c5b7d · outbound

This paper cites Direct unlearning optimization for robust and safe text-to-image models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Direct unlearning optimization for robust and safe text-to-image models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:25.963265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b38e7dd-7fac-41fe-ba7f-9c3a20f0d3bd · outbound

This paper cites Pope Francis warns against ‘perverse’ dangers of AI, renews call for worldwide regulation — theglobeandmail.com.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Pope Francis warns against ‘perverse’ dangers of AI, renews call for worldwide regulation — theglobeandmail.com

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:25.842672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 10774d90-0198-44e3-8403-fcee406a36ed · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Learning transferable visual models from natural language supervi- sion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:25.715354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb4283fb-f765-4b09-8e91-41321fc96ecf · outbound

This paper cites Effects of deviations in the nose and chin prominence on facial attractiveness.Journal of Orthodontics, 48(2):135–143, 2021.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Effects of deviations in the nose and chin prominence on facial attractiveness.Journal of Orthodontics, 48(2):135–143, 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:25.594789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35792a96-a63c-491c-a52c-8e065b1a52c7 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? High-resolution image synthesis with latent diffusion models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:25.445050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 717feca1-6cc7-424a-b315-c925048c0382 · outbound

This paper cites U-net: Con- volutional networks for biomedical image segmentation.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? U-net: Con- volutional networks for biomedical image segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:25.356020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6fa3d1f2-6dd6-4a8e-b096-4e5b7a7852a8 · outbound

This paper cites Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gon- tijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gon- tijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:25.254205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f5d8b02b-b9d2-4acb-84eb-7ef10de49f40 · outbound

This paper cites Weiss, Niru Maheswaranathan, and Surya Ganguli.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:25.122003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18d996a9-39f5-480c-b3ac-1c16f5ea1039 · outbound

This paper cites an unresolved cited work.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:03:24.979424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95552567-7be5-4e96-a194-6107edac9f88 · outbound

This paper cites Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:03:23.984922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13a27e82-ce52-48d8-9e63-06bcedfb35cb · outbound

This paper cites Moderator: Moderating text-to-image diffusion models through fine-grained context-based policies.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Moderator: Moderating text-to-image diffusion models through fine-grained context-based policies

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:24.870812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0159b643-de1d-49ed-9d46-76890674fd5e · outbound

This paper cites AEIOU: A unified defense framework against NSFW prompts in text-to-image models.CoRR, abs/2412.18123, 2024.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? AEIOU: A unified defense framework against NSFW prompts in text-to-image models.CoRR, abs/2412.18123, 2024

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:22.133020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134c1196-73f2-4fb3-8e1c-2f71ae6549be · outbound

This paper cites Unlearn- ing concepts in diffusion model via concept domain correction and concept preserving gradient.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Unlearn- ing concepts in diffusion model via concept domain correction and concept preserving gradient

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:24.691734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 25ec9db9-3a9b-4413-af19-79495468cc1f · outbound

This paper cites Editing massive concepts in text-to-image diffusion models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Editing massive concepts in text-to-image diffusion models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:22.303382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66856c11-a800-49f3-92f9-301fe7980dbe · outbound

This paper cites Guardt2i: Defending text-to-image models from adversarial prompts.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Guardt2i: Defending text-to-image models from adversarial prompts

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:24.494850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a4f3891-0aae-47c6-9a2a-1e4a4526c605 · outbound

This paper cites SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:22.404756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83433343-b983-4289-ba93-fe5dc134f82a · outbound

This paper cites PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:22.530957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09a845ff-7592-4771-8bd6-78f8cac58354 · outbound

This paper cites Forget-me-not: Learning to forget in text-to-image diffusion models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:24.369757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71ec673b-1526-4118-a103-06c1a1fd7bbf · outbound

This paper cites Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:22.689471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2edf355e-6d09-49b5-85dd-23cd721b7407 · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Efros, Eli Shechtman, and Oliver Wang

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:24.258795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06980505-afec-46b8-aae8-65d6b93f6f65 · outbound

This paper cites Defensive unlearning with adversarial training for robust concept erasure in diffusion models.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Defensive unlearning with adversarial training for robust concept erasure in diffusion models

Reference 45

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T05:03:24.162777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 42c43b10-30d0-4d04-9acc-116c6897cc02 · outbound

This paper cites an unresolved cited work.

Do Concept Replacement Techniques Really Erase Unacceptable Concepts? Unresolved cited work

Reference 2024

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T05:03:29.501459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 4c9d56b2-d7b3-4bd2-9bc9-0b86e5aebeb6 · inbound

ReVision : A Post-Hoc, Vision-Based Technique for Replacing Unacceptable Concepts in Image Generation Pipeline cites this paper.

ReVision : A Post-Hoc, Vision-Based Technique for Replacing Unacceptable Concepts in Image Generation Pipeline Do Concept Replacement Techniques Really Erase Unacceptable Concepts?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T21:46:43.029378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.